Sharareh Noroozi - Department of Electrical Engineering Islamic Azad University of South Tehran Branch Tehran, Iran
Heidarali Shayanfar - Department of Electrical Engineering, Iran University of Science and Technology

In this study, a new PID-like neuro-fuzzy controller (PIDNFC) is introduced to track the maximumpower point tracking (MPPT) for photovoltaic (PV) systems. The proposed controller combines a PIDcontroller with a neuro-fuzzy controller. An online algorithm based on gradient decent is used to tune theparameter of proposed controller. The simulation results show that the PID-like neuro-fuzzy controller basedMPPT has satisfactory performance and assures an exact convergence to the maximum power point (MPP)under complex shading patterns. Moreover, the proposed controller provides a rapid convergence to the MPPin instant transient variation of shading. No oscillations around the MPP, system independent and rapidconvergence can be mentioned as major benefits of the proposed method.

MPPT, photovoltaic system, PIDNFC, neuro-fuzzy controller, PIDNFC